Dry clutch control for automotive applications.
type: Item
instance of: scholarly article
title: Dry clutch control for automotive applications.
zbMATH Open document ID: 1216.70003
DOI: 10.1007/978-1-84996-068-7
author: B. E. Eshmatov
published in: Advances in Industrial Control
publication date: 2010-03-31T00:00:00Z
review text: The present book encourages the technology transfer in control engineering, by analyzing the control of a part of the power train, which has a key role in ride comfort. The book is divided into two main parts. The first one presents the mechanical elements of the driveline and describes a proper mathematical modeling. Before analyzing the clutch-related driving comfort, the authors study the interaction between the mechanical elements, during standing-start and gear shifting maneuvers. In the second part, the control problem concerning the dry clutch is discussed, first for the case of a synchronization-assistance model (only the clutch position is under control), and next for a fully automatic model. Chapter 2 gives a mechanical description of driveline elements and their interaction, with focus on the clutch. Here the reader can find a nonlinear model of the driveline for simulation, and a simplified model for control design, completed with a standing-start driver automation for closed loop simulation. Chapter 3 analyses the use of the clutch and the influence of driveline parameters. Chapter 4 presents a solution, called synchronization assistance, describing how the clutch comfort is affected by some physically interdependent elements. After the formulation of the dynamic equations and a quadratic cost function, the synchronization assistance strategy can be solved as a finite-time optimal control problem. The authors examine this problem by differential analysis, by Lagrangian multipliers, by matrix exponentials and by quadratic programming. In Chapter 5, the optimal standing-start is described by using exact dynamic replanning and a simplified dynamic replanning. Thus, the model-based predictive control can be studied by means of a control strategy that consists in solving an optimal problem in quadratic programming formulation for a liberalized system over a finite time horizon of some samples, and by issuing the first control samples before using the newly m…
reviewed by: Mihail Megan
Mathematics Subject Classification ID: 70-02
Mathematics Subject Classification ID: 70Q05
Mathematics Subject Classification ID: 70E60
Mathematics Subject Classification ID: 93C85
zbMATH DE Number: 5688769
zbMATH Keywords: synchronization-assistance model
zbMATH Keywords: quadratic programming
zbMATH Keywords: friction-coefficient observer
zbMATH Keywords: Clio II 1.5 dCi
zbMATH Keywords: Renault AMT JH gearbox
zbMATH Keywords: transmitted torque
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1007/978-1-84996-068-7
OpenAlex ID: W1541426053
description: scientific article; zbMATH DE number 5688769